code: def test_callback_earlystopping(model):
      cb = EarlyStopping("test_monitor", patience=2)
      assert cb is not None
      assert cb.counter == 0
  
      metric = {"test_monitor": AverageMeter()}
      metric["test_monitor"]._avg = 1
  
      state = cb(model, epoch=0, valid_metric=metric)
      assert state == TrainerState.TRAINING
      assert cb.best_score == 1
      assert cb.counter == 0
  
      metric["test_monitor"]._avg = 2
      state = cb(model, epoch=0, valid_metric=metric)
      assert state == TrainerState.TRAINING
      assert cb.best_score == 2
      assert cb.counter == 0
  
      metric["test_monitor"]._avg = 1.9
      state = cb(model, epoch=0, valid_metric=metric)
      assert state == TrainerState.TRAINING
      assert cb.best_score == 2
      assert cb.counter == 1
  
      metric["test_monitor"]._avg = 1.9
      state = cb(model, epoch=0, valid_metric=metric)
      assert state == TrainerState.TERMINATE
      assert cb.best_score == 2
      assert cb.counter == 2
  
file_path: kornia/test/x/test_x.py
imports: import pytest
  from torch import nn
  from kornia.metrics import AverageMeter
  from kornia.x import EarlyStopping, ModelCheckpoint
  from kornia.x.utils import TrainerState
label_desc: Use image node_id 2 for calling a global function with example usage: test_callback_earlystopping(model) without return types